Abstract
Lack of sensitive and specific biomarkers is a major reason for the high rate of hepatocellular carcinoma (HCC) related mortality. The aim of this study was to use surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS) technology to identify potential protein patterns specific for HCC. Eighty-one patients with hepatitis B-related HCC and 80 healthy controls were randomly divided into a training set (48 HCC, 47 controls) and a testing set (33 HCC, 33 controls). Serum proteomic profiles were measured using SELDI-TOF-MS. A classification tree was established by Biomarker Pattern Software. Candidate biomarkers were separated by HPLC and identified by MALDI-MS/MS and database searching. Forty-eight HCC cases, 54 liver cirrhosis cases and 42 healthy people were clinically validated using candidate biomarkers by SELDI-Immunoassay. Two up-regulated protein peaks were automatically chosen as a classification tree in the training set. These biomarkers were identified as thrombin light chain and growth related oncogene-α (GRO-α). The sensitivity and specificity of this classification tree were 89.6%. The multivariate model using the two biomarkers and AFP resulted in a sensitivity of 91.7% and specificity of 92.7%, which was significantly better than that of alpha-fetoprotein alone. We conclude that thrombin light chain and GRO-α are potential biomarkers of HCC.
Original language | English (US) |
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Pages (from-to) | 163-170 |
Number of pages | 8 |
Journal | Cancer Letters |
Volume | 279 |
Issue number | 2 |
DOIs | |
State | Published - Jul 8 2009 |
Externally published | Yes |
Keywords
- Biomarker
- Hepatocellular carcinoma
- Proteomics
- Serum
- Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy
ASJC Scopus subject areas
- Oncology
- Cancer Research